Epoch

Introducing Epoch Epoch is a quantitative co-pilot for institutional trading teams. Modern investment teams rely on complex data, models, and assumptions, but research workflows are often fragmented, slow to iterate, and difficult to trust once execution realities are applied. Epoch was built to change that. What Epoch is used for Epoch supports end-to-end quantitative research in a single environment. Teams use it to: • Analyze markets across asset classes and timeframes • Test ideas using realistic backtests that account for slippage and commissions • Apply machine learning to research and signal development • Evaluate portfolios to understand risk, performance, and trade-offs The focus is on helping teams move from questions → tested ideas → defensible conclusions. Market data coverage Epoch supports global market data across all major asset classes, including: • Minute-level and end-of-day data for stocks, futures, FX, and crypto • Fundamentals and corporate actions • Economic data and news (With additional datasets actively being added.) This allows teams to keep research consistent across markets, instruments, and horizons. What makes Epoch different Most tools in this space rely on auto-generated code stitched together at query time. Epoch is built differently. At its core is a high-performance quantitative research and backtesting engine, paired with a library of pre-built algorithms. Research results are deterministic, repeatable, and verifiable - not dependent on generated scripts or black-box outputs. AI is used to make the system easier and faster to interact with. The answers themselves come from real computation. Who it’s for Epoch is built for investment banks, hedge funds, and asset managers. In practice, it puts a quant in everyone’s pocket: • Traders make faster, data-backed decisions • Quants iterate without spending weeks engineering ideas that won’t survive execution • Analysts produce clearer research and better client insights If you’re interested in exploring Epoch, using it at your firm, or sharing feedback, I’d love to hear your thoughts.